GSK · 1 day ago
Senior AI/ML Platform Engineer
Collegeville, PA
Full-time
Onsite
Senior Level
$158K/yr - $264K/yr
6+ years expGSK is a global biopharma company focused on uniting science, technology, and talent to get ahead of disease. They are seeking a Senior AI/ML Platform Engineer to contribute technical expertise in building a next-generation AI/ML platform that enhances productivity for scientists and accelerates medical discovery.
BiotechnologyHealth CarePharmaceutical
Responsibilities
Serve as a key engineer for the AIML platform and contribute technical expertise to teams in closely aligned technical areas such as GenAI Platform, DevOps, Compute and Cloud
Lead design of major software components of the AIML Platform and contribute to development of production code in Python and participate in both design reviews and PR reviews
Accountable for key component(s) of AIML Platform with particular focus on usability, reproducibility and performance at scale
Integrate with DataOps, HPC and Data Engineering products for best performance and ease of use in ML training at scale
Participate in or lead project teams and contribute technical expertise to teams in closely aligned technical areas
Able to design innovative strategies and ways of working to create a better environment for the end users
Champion best practices in ways of working and engineering discipline, and proactively contribute to improvements within your engineering area
Qualification
Required
Bachelor's, Master's or PhD degree in Computer Science, Software Engineering, or related discipline
6+ years of experience in industry experience in software engineering with a Bachelor's
4+ years of experience in industry experience in software engineering with a Master's
2+ years of experience in industry and/or academic experience in software engineering with a PhD
2+ years of experience in AIML engineering, including large-scale model training and production deployment
Experience with delivering projects primarily using Python
Preferred
Deep knowledge and use of Python programming language including toolchains for documentation, testing, and operations / observability
Deep expertise in modern software development tools / ways of working (e.g. git/GitHub, DevOps tools, metrics / monitoring, …)
Deep cloud expertise (e.g., AWS, Google Cloud, Azure), including infrastructure-as-code tools (Terraform, Ansible, Packer, …) and scalable cloud compute technologies, such as Google Batch and Vertex AI
Deep hands-on experience with ML frameworks such as PyTorch or TensorFlow as well as external libraries such as Huggingface and/or Deepspeed
Hands-on experience with frameworks for building agentic AI systems, such as LangGraph, LangChain
Experience with ML application performance tuning and optimization, both for ML training and inference/deployment, including large scale multi-GPU, and/or multi-TPU multi-node distributed training for large models such as LLMs
Experience with CI/CD implementations using git and a common CI/CD stack (e.g., Azure DevOps, CloudBuild, Jenkins, CircleCI, GitLab)
Experience in ML workflow orchestration and pipelines with tools such as Vertex Pipelines, MLFlow, etc
Experience with MLOps tools and model deployments (including LLMs) such as Kubeflow, Vertex AI Predictions, vLLM, Ollama
Deep expertise with Docker, Kubernetes, and the larger CNCF ecosystem including experience with application deployment tools such as Helm
Experience with High-Performance Computing (HPC) at both at software stack as well as hardware level and understanding performance within the HPC systems
Deep familiarity with the tools, techniques, optimizations in AIML and AIML Platform/MLOps space, including engagement with the open-source community (and potentially making contributions to such tools)
Demonstrated excellence with agile software development environments using tools like Jira and Confluence
Benefits
Annual bonus
Eligibility to participate in our share based long term incentive program
Health care and other insurance benefits (for employee and family)
Retirement benefits
Paid holidays
Vacation
Paid caregiver/parental and medical leave
Company
GSK
We are uniting science, technology and talent to get ahead of disease together. Our community guidelines: https://gsk.to/socialmedia
10001+ employees
H1B Sponsorship
GSK has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (45)
2024 (56)
2023 (54)
2022 (53)
2021 (54)
2020 (72)
Funding
Current Stage
Public CompanyTotal Funding
$25.51MKey Investors
CARB-X
2021-03-02Grant· $18M
2020-09-23Grant· $7.51M
1978-01-13IPO
Leadership Team
Julie Brown
CFO
Mike Elmore
SVP & Chief Information Security Officer, GSK
Recent News
2026-01-07
EIN Presswire
2025-11-24
Company data provided by crunchbase